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Optimized Ranking-Based Techniques for Improving Aggregate Recommendation Diversity

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Probabilistic Ranking Techniques in Relational Databases

formulations and processing techniques for ranking queries on uncertain data. The formulations are based on marriage of traditional ranking semantics;

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Probabilistic Ranking Techniques in Relational Databases

formulations and processing techniques for ranking queries on uncertain data. The formulations are based on marriage of traditional ranking semantics;

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Personalization Techniques And Recommender Systems

research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and;

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Learning to Rank for Information Retrieval and Natural Language Processing

Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many;

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Personalized Task Recommendation in Crowdsourcing Systems

in crowdsourcing activities. In order to explore the design of mechanisms that generate task recommendations based on individual preferences, the book;

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Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining

academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic;

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Identifying Patterns in Financial Markets

This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and;

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Aggregate Resources

, geophysical exploration techniques, deposit prediction and modeling, land-use case studies, production values and trends, geotechnical properties;

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Relevance Ranking for Vertical Search Engines

ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search;

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T-SQL Window Functions

, renowned T-SQL expert Itzik Ben-Gan introduces breakthrough techniques for using them to handle many common T-SQL querying tasks with unprecedented;

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Multimodal Analysis of User Generated Multimedia Content

proposed frameworks are also discussed. First, improved tag recommendation and ranking systems for social media photos, leveraging both content and;

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The Future of Airplane Factory

for actualizing a future airplane factory (FAF) that is digitally optimized for intelligent airplane assembly. They fit and integrate with;

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Probabilistic Approaches to Recommendations

process. This book starts with a brief summary of the recommendation problem and its challenges and a review of some widely used techniques;

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Probabilistic Approaches to Recommendations

process. This book starts with a brief summary of the recommendation problem and its challenges and a review of some widely used techniques;

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Experiment and Evaluation in Information Retrieval Models

Solutions to the Problems in Advanced IR Concepts, including Feature Selection for Document Ranking, web page classification and recommendation;

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Building a Recommendation System with R

techniques * Understand some of the most popular recommendation techniques * This is a step-by-step guide full of real-world examples to help you;

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Hands-On Recommendation Systems with Python

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful;

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Algorithms of the Intelligent Web

see are just as important-and impressive. They use powerful techniques to process information intelligently and offer features based;

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Information and Recommender Systems

where to find them. Computer techniques exist to facilitate this research and allow relevant information extraction. Recommendation systems;

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Web Information Systems Engineering - WISE 2016

Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event;

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Web Information Systems Engineering - WISE 2016

Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event;

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Friends and Relations

loyalty, empathy, conflict, courage, fairness, responsibility, and diversity. Each book recommendation includes:A detailed;

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Enacting Diverse Learning Environments

This monograph is based on the assumption that achieving diversity and educational equity will remain one of higher education's most;

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Point-of-Interest Recommendation in Location-Based Social Networks

This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a;

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Applications of Genetic and Genomic Research in Cereals

Applications of Genetic and Genomic Research in Cereals covers new techniques for practical breeding, also discussing genetic and;

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Systematic Approach of Characterisation and Behaviour of Recycled Aggregate Conc

behaviour of recycled aggregate under impact load along with other structural applications, and explains the various quality-improvement techniques;

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